Hui Wen

574 citations
41 papers · 304 indexed · 1 hit paper · h-index 11
Topics
Network Security and Intrusion Detection (7 papers)Peer-to-Peer Network Technologies (5 papers)Anomaly Detection Techniques and Applications (5 papers)

In The Last Decade

Hui Wen

39 papers receiving 288 citations

Hit Papers

When LLMs meet cybersecurity: a systematic literature review202520262025102030

Peers

Hui Wen
Comparison fields: 5 of 59
  • Computer Networks and Communications 129
  • Artificial Intelligence 115
  • Information Systems 94
  • Signal Processing 62
  • Computer Vision and Pattern Recognition 48
Replace Endong Tong with:
Endong Tong China
Khalid Aloufi Saudi Arabia
Hui Qi China
Nemanja Maček Serbia
Xueming Si China
Zainab Salih Ageed Iraq
Peter Hannay Australia
Xiantao Jiang China
Hanumat Sastry G India
Hui Wen relative to Endong Tong China Endong Tong's profile →
Citations per field
00.5×3.2×
Endong Tong · 1×
Citations per year

Countries citing papers authored by Hui Wen

Since Specialization
Citations

This map shows the geographic impact of Hui Wen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Wen more than expected).

Fields of papers citing papers by Hui Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Wen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui Wen. The network helps show where Hui Wen may publish in the future.

Co-authorship network of co-authors of Hui Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Wen. A scholar is included among the top collaborators of Hui Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui Wen. Hui Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 1
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When LLMs meet cybersecurity: a systematic literature reviewbreakdown →
35
4 3
5 10
6 10
7 19
8 1
9 3
10 19
11 4
12 14
13 5
14 19
15 5
16 11
17 7
18
Financial Warning for Non-life Insurance Company based on the Radial Basis Function(RBF) Neural Network
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19 0
20 1

About Hui Wen

Hui Wen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 41 papers that have together received 304 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Peer-to-Peer Network Technologies (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Signal Processing (62 citations), Computer Networks and Communications (129 citations) and Information Systems (94 citations). Hui Wen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chuang Lin, Hancong Duan, Hongsong Zhu, Yang Yang, Haiying Zhao, Limin Sun, Yue Wu, Limin Sun, Shui Yu and Hao Yin. Their work appears in journals such as Analytical Chemistry, Expert Systems with Applications and Sensors.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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